Full-Time

Technical Revenue Accounting

Posted on 12/19/2024

Anthropic

Anthropic

1,001-5,000 employees

AI research and development for reliable systems

Enterprise Software
AI & Machine Learning

Compensation Overview

$110k - $190kAnnually

Senior

H1B Sponsorship Available

San Francisco, CA, USA

Location-based hybrid policy: expected to be in the office at least 25% of the time.

Category
Financial Accounting
Tax Accounting
Accounting
Requirements
  • 5+ years of progressive accounting experience, with significant focus on revenue recognition
  • Strong knowledge of ASC 606 with experience in deal structuring and contract review
  • Experience preparing technical accounting memos and revenue recognition policies
  • Hands-on experience with revenue recognition tools (e.g., NetSuite ARM, Workday Financial Management, Zuora RevPro)
  • Strong communication skills and ability to influence diverse stakeholders
  • Proven project management skills with ability to drive results
  • Demonstrated ability to thrive in fast-paced, ambiguous environments
  • Proactive approach to identifying process improvements
  • Bachelor's degree in Accounting or Finance; CPA preferred
  • Experience with deal desk or similar advisory work
  • Experience with consumption-based and subscription-based revenue models
  • Experience with B2B and B2C revenue streams and accounting operations
Responsibilities
  • Provide technical accounting expertise, partnering with Legal, GTM Finance, and Sales teams on revenue accounting guidance throughout the deal lifecycle
  • Review revenue contracts and prepare checklist, month-end JEs, and technical accounting memos under manager’s guidance to ensure revenue recognition compliance under ASC 606
  • Act as a preparer for revenue-related month end close activities and flux analysis
  • Maintain and follow revenue recognition policies and procedures
  • Conduct technical research on complex accounting matters and present findings, including for new product launches and GTM strategies
  • Build and maintain relationships with cross-functional stakeholders to drive effective collaboration
  • Educate business partners understand revenue implications in clear, accessible terms
  • Participate in and contribute to process improvement and system implementation projects

Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, serves as an AI assistant that can manage tasks for clients across various industries. Claude utilizes advanced techniques in natural language processing, reinforcement learning, and code generation to perform its functions effectively. What sets Anthropic apart from its competitors is its emphasis on making AI systems that are not only powerful but also understandable and controllable by users. The company's goal is to enhance operational efficiency and improve decision-making for its clients through the deployment and licensing of its AI technologies, as well as providing specialized research and development services.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$11.5B

Headquarters

San Francisco, California

Founded

2021

Growth & Insights
Headcount

6 month growth

52%

1 year growth

283%

2 year growth

1205%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing trend towards AI systems managing information benefits Anthropic's AI solutions.
  • Amazon's AGI SF Lab suggests potential for enhancing Claude's capabilities.
  • Swift Ventures' AI index aligns with Anthropic's focus on AI safety and reliability.

What critics are saying

  • Increased competition from Google's Gemini 2.0 challenges Anthropic's market position.
  • OpenAI's new features may attract users away from Anthropic's Claude.
  • Slack's AI integration could overshadow Claude's capabilities.

What makes Anthropic unique

  • Anthropic focuses on AI safety, transparency, and alignment with human values.
  • Claude, Anthropic's AI assistant, handles tasks of any scale across industries.
  • Anthropic emphasizes reliable, interpretable, and steerable AI systems.

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